Before and after security analysis of common space implementation (2023)

present

The concept of common space proposes the integration of road users in order to regulate traffic and improve safety. The main hypothesis is that by promoting smooth traffic and minimizing traffic regulation, people are more alert to other road users, move more slowly, and rely on interactive, deliberation-based actions to decide who has the right of way (Clarke, 2006, Hamilton-Baillie , 2008; Karndacharuk et al., 2014a; Pascucci et al., 2015; Rinke et al., 2017). Because shared spaces depend on interaction to function effectively, this challenges established street separation systems designed to avoid conflicts and limit contact between different road users (Hamilton-Baillie, 2008, Karndacharuk et al., 2014a).

Therefore, shared spaces can be considered low-speed road environments that minimize segregation among road users. In addition to reducing vehicle speeds and providing more space for pedestrians, the aim is to reduce the dominance of motor vehicles and improve the sense of place to further balance the function of the street and make it a public space. (Hamilton-Baillie, 2008, Karndacharuk et al., 2014a).

Despite its goal of improving the safety of vulnerable road users (VRUs), few papers have examined the safety benefits of shared space implementation through before-and-after analysis. Ruiz-Apilánez et al. (2017) highlighted the lack of before and after studies of shared spaces, and this is also documented in the literature review in section 2.1. In particular, several existing before-and-after analyzes of shared spaces have focused on studying changes in the spatial behavior of road users. Safety of vulnerable road users. Some studies include analyzes of traffic conflicts that are more relevant to road safety; however, the considered conflict-based approaches have some drawbacks: 1) In many cases, conflicts are identified in a qualitative way, which increases the subjective element and increases 2) they limit the analysis and often lead to the comparison of conflict rates in before and after scenarios without taking into account the more complex relationship that exists between conflicts and accidents.

This study proposes a conflict-based approach to assess road safety before and after the implementation of shared spaces, filling a gap in the literature that lacks procedures to explicitly identify and quantify the safety benefits of these urban solutions. In particular, the method presented here addresses the two main problems mentioned above: 1) detection and identification of collisions using quantitative methods, using an alternative safety measure called Time to Avoid Collision Points (TTAC); 2) applying extreme value theory (EVT) ) approach was used to model the probabilistic relationship between conflicts and accidents.

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The procedure is structured with practicality in mind; therefore, it aims to be a theoretically sound method that should also be relatively easy to apply by practitioners.

A real-world case study is used to illustrate the application of the proposed method. It should be seen as a training ground for a better understanding of the advantages and limitations of the method, and not as an end in itself. In this sense, the analysis of case studies is a good way to show the main features of the program, but also to draw relevant conclusions and suggest practical rules due to some of its limitations.

The remainder of the paper is structured as follows: Section 2 presents a prior literature review on before-and-after shared space analysis, safe alternatives for vehicle-VRU crashes, and methods for extracting crash probabilities from crash data; Section 3 provides an overview of the methods used; Chapter 4 presents the case study and data collection and preparation procedures; Chapter 5 illustrates the results of the before and after analyses; Chapter 6 discusses the main findings; outlook.

Part of a fragment

Before and after analysis of common areas

As expected in the Introduction, only a few previous works have investigated shared space safety through before-and-after analyses, mostly focusing on spatial behavior analysis and/or qualitative assessment of traffic conflicts.

Kaparias et al (2015) compared road user behavior before and after the redesign of the London Show Road, with the aim of assessing pedestrian confidence and vehicle tolerance during interactions. Data were collected by cameras and authors

Methodological framework

The proposed method, shown in Figure 3, aims to assess "post-scene" versus "before-scene" security. The After scenario is an evolution of the Before Scenario, where the infrastructure (afterevaluation) or virtual (from the pastassessment) to intervene. Current work is focused on applying this approach to assessing the safety of shared spaces before and after, but could be generalized to wider urban areas.

before and after the scene

The research area is located in the residential area of ​​Sambruson di Dolo, a village in the Veneto region (Italy), with a population of about 5,000 people. Figure 6a shows the Before scenario; there are three main theme parks in the study area: a kindergarten, a bar, and a cemetery, all served by a two-way street with only one sidewalk that also includes a sharp 90° turn. This road is the southern branch of the roundabout and a small gateway to the center of the village

Traffic

The volume of traffic was analyzed for each cross-section in each case, taking into account both the west direction (from point A to point B, see Figure 8) and the opposite direction (from B to A) from the center of the village. Pedestrians and cyclists are classified as vulnerable road users due to the relatively small number of observed cyclists (the total ratio of pedestrians to cyclists was about 5:1).

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Table 1 provides a list

Main features of the proposed method

The application of the approach presented in Chapter 3 is illustrated through a real case study in 4 Data preparation, 5 Results, highlighting some of its key features.

First,A comprehensive indicator that clearly identifies improvements in road safetyThe analysis of behavior in space provides insight into the impact of urban interventions on driving behavior, indicating positive and negative consequences. On the one hand after

Limitations of case studies

The case studies presented in this paper are subject to some limitations that should be noted, but which may also serve as useful lessons for practical application (Section 6.3).

The main limitation is the relatively small number of observed conflicts, which can have different consequences. Although the accident estimates for the current case study are reasonable (as discussed in Section 5.2), the reliability of the Lomax estimates obtained using such a small fitted data set

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necitirane reference

Hayward, 1972, Tarko, 2018, Zhang i sur., 2011, Zheng i sur., 2014, Zheng i sur., 2019.

CrediT Contribution Statement Authorship

Federico Orsini:Conceptualization, Methodology, Software, Formal analysis, Research, Data curation, Writing—original manuscript, Writing—review and editing, Visualization, Funding acquisition.Mariana Battista:Conceptualization, methodology, writing - manuscript, writing - review and editing.Bernhard Friedrich:Resources, writing - review and editing, supervision.Massimiliano Gastaldi:Conceptualization, methodology, software, validation, resources, writing - review and editing, supervision,

Statement of competing interests

The authors declare that they have no known financial interests or personal relationships that could influence the work reported in this article.

Thank you

The authors thank Aleksandar Trifunović (data processing), Albert Sart, Ilaria Piva, Albert Sgrò and the Municipality of Dolo (data collection) for their valuable support.

financing

This research was funded by the University of Padua (Project ID: BIRD200213/20 "Safety of vulnerable road users: Experiments in virtual environments"), Ermenegildo Zegna Founders Fellowship and Ing. Aldoghini Foundation.

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© 2023 World Society for Transportation Studies Conference. Published by Elsevier Limited. All rights reserved.

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